Lead-scoring analysis with ranking metrics, precision-recall tradeoffs, and conversion modeling.

Trained a model that estimates if a lead is likely to be converted based on lead behavior in historical customer data using ML.

Replace your entire GTM SaaS stack ($100k+/yr) with one self-hosted AI platform. 5 AI agents: ICP scoring, outbound personalization, deal intelligence, churn prediction, content generation.

AI-powered CRM & Sales Analytics dashboard built with Streamlit. Includes customer segmentation, KPI tracking, AI insights, and automated email notifications using SendGrid.

The second iteration of Cuana, an E2E customer analytics solution for churn/CLV prediction, segmentation & lead scoring

AI-powered CRM & Sales Analytics dashboard built with Streamlit. Includes customer segmentation, KPI tracking, AI insights, and automated email notifications using SendGrid.

Production-style lead intelligence platform for ingesting, enriching, verifying, and scoring real estate leads, with batch processing, resumable jobs, and a dashboard-first workflow for operational use.

Multi-agent AI system for Notion CRM that scores, researches, and prioritizes leads automatically.

Lead scoring model-training lab with Litestar, Pydantic v2, SHAP drivers, and DiCE counterfactual planning.

App de Lead Scoring con Inteligencia Artificial para analizar mensajes y detectar intención de compra. Hecha con Python, Streamlit y OpenAI.

Salesforce-integrated lead scoring & routing pipeline: Python ML model scores leads via logistic regression, syncs scores to Salesforce CRM via REST API, and triggers native Record-Triggered Flows for Hot/Warm/Cold tiering and SDR task creation.

Cortex - AI sales lead qualifier: enrich, score (LangGraph agent), validate, and digest leads. FastAPI + Next.js, runs keyless in mock mode.

AI-assisted HubSpot contact classification workflow for cleaner CRM segmentation, safer follow-up, and human-reviewed GTM automation.

Turns messy leads from any source (Facebook, Instagram, Google Forms, landing pages) into clean, deduplicated, scored leads in one schema. Each lead gets a 0–100 score, a plain-English reason, and a next action. Fixes its own code when it breaks. 100% free and runs fully local.

Deterministic Pydantic scoring engine for B2B lead qualification

Lead Management System para optimizar campañas SEM. Todo claudica en la base de datos. Al cliente le llega un sencillo excel exportado con potenciales clientes.

Opinionated framework for generating synthetic CRM and GTM datasets from simulated commercial worlds.

A machine learning tool that predicts the conversion probability of customer leads using Logistic Regression. Helps businesses prioritize high-value prospects.

AI-powered lead qualification system with automated scoring, AI analysis, personalized follow-up emails, human approval workflow, and CRM integrations. Built with FastAPI, Next.js, PostgreSQL & OpenAI.